Binaural Localization Based on Weighted Wiener Gain Improved by Incremental Source Attenuation
Binaural Localization Based on Weighted Wiener Gain Improved by Incremental Source Attenuation
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DOI：
10.1109/tasl.2008.2006651
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
Y. Nagata;Satoshi Iwasaki;T. Hariyama;T. Fujioka;Tomita Obara;Takayuki Wakatake;M. Abé
中科院分区：
文献类型：
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作者：
Y. Nagata;Satoshi Iwasaki;T. Hariyama;T. Fujioka;Tomita Obara;Takayuki Wakatake;M. Abé
本文研究了利用头相关传递函数（HRTF）处理双耳声信号的方位角和俯仰角的波达方向（DOA）估计问题。在此之前，我们提出了一个加权维纳增益（WWG）的方法，用于二维DOA估计与双向麦克风。然而，对于用HRTF处理的信号，WWG的空间谱中指示真实源的峰可以与假峰混合。为了解决这种情况，我们建议将增量源衰减（伊萨）与WWG相结合。事实上，伊萨减少了来自指定声源的频谱分量，从而提高了所提出的增量估计过程中下一个目标源的定位精度。我们进行计算机模拟，使用定向麦克风和四个HRTF集对应于四个人。将该方法与两种等效于两种广义互相关函数的DOA估计方法以及两种高分辨率的多信号分类方法（MUSIC）和最小方差法进行了比较。为了比较的目的，我们引入二进制相干检测（BCD）的高分辨率方法，强调有效的光谱成分在多个源条件下的本地化。评估结果表明，虽然MUSIC与BCD产生相当的性能，WWG的条件下，单语音源存在，WWG与伊萨超过其他方法的条件下，包括两个或三个语音源。
This paper addresses the problem of direction-of-arrival (DOA) estimation both in azimuthal and elevation angle from binaural sound that is processed with a head-related transfer function (HRTF). Previously, we proposed a weighted Wiener gain (WWG) method for two-dimensional DOA estimation with two-directional microphones. However, for signals processed with HRTFs, peaks in the spatial spectra of WWG indicating true sources can mingle with spurious peaks. To resolve this situation, we propose to apply incremental source attenuation (ISA) in combination with WWG. In fact, ISA reduces spectral components originating from specified sound sources and thereby improves the localization accuracy of the next targeted source in the proposed incremental estimation procedure. We conduct computer simulations using directional microphones and four HRTF sets corresponding to four individuals. The proposed method is compared to two DOA estimation methods that are equivalent to two generalized cross-correlation functions and two high-resolution methods of multiple signal classification (MUSIC) and minimum variance method. For comparison purposes, we introduce binary coherence detection (BCD) to high-resolution methods for emphasizing valid spectral components for localization in multiple source conditions. Evaluation results demonstrate that, although MUSIC with BCD yield comparable performance to that of WWG in conditions where single speech source exists, WWG with ISA surpasses the other methods in conditions including two or three speech sources.